Objective and automatic assessment approach for diagnosing attention-deficit/hyperactivity disorder based on skeleton detection and classification analysis in outpatient videos

Objective and automatic assessment approach for diagnosing attention-deficit/hyperactivity disorder based on skeleton detection and classification analysis in outpatient videos

Abstract Background Attention-deficit/hyperactivity disorder (ADHD) is diagnosed in accordance with Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria by using subjective observations and information provided by parents and teachers. However, subjective analysis often lead...

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Bibliographic Details
Main Authors: Chen-Sen Ouyang, Rei-Cheng Yang, Rong-Ching Wu, Ching-Tai Chiang, Yi-Hung Chiu, Lung-Chang Lin
Format: Article
Language:English
Published: BMC 2024-05-01
Series:Child and Adolescent Psychiatry and Mental Health
Subjects:
ADHD
Machine learning
Skeleton detection
OpenPose
Variance analysis
Cutoff
Online Access:https://doi.org/10.1186/s13034-024-00749-5

Internet

https://doi.org/10.1186/s13034-024-00749-5

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